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Can ChatGPT-Powered Shopping Drive Target's Next Digital Push?
ZACKS· 2025-11-24 16:10
Core Insights - Target Corporation (TGT) is significantly enhancing its use of generative AI to improve digital engagement and drive growth, with digital comparable sales increasing by 2.4% and same-day services rising over 35% in Q3 of fiscal 2025 [1][9]. Group 1: AI Innovations - The introduction of Target's Gen-AI Gift Finder aims to provide personalized product suggestions by interpreting natural-language queries, enhancing customer engagement during the shopping experience [2]. - Target is integrating with ChatGPT to facilitate conversational commerce, allowing customers to receive personalized recommendations and complete purchases seamlessly, with a fulfillment network that covers 99% of U.S. households for two-day shipping [3]. Group 2: AI Infrastructure and Performance - Target's AI infrastructure includes tools like Trend Brain and synthetic audiences, which help identify trends and improve in-stock rates by over 150 basis points for the top 5,000 items, enhancing the overall digital shopping experience [4]. - Early indicators show promising growth in Target Plus marketplace GMV and Roundel ad sales, suggesting that AI-driven shopping experiences are effective, with nearly 50% growth in GMV and mid-teens growth in ad sales [5]. Group 3: Financial Performance and Valuation - TGT stock has decreased by 35.2% year-to-date, contrasting with the industry's growth of 4.1% [8]. - The forward 12-month price-to-earnings ratio for TGT is 11.43, significantly lower than the industry average of 29.77, indicating a lower valuation [11]. - The Zacks Consensus Estimate predicts a 17.6% decline in TGT's fiscal 2025 earnings, followed by a projected growth of 6.2% in fiscal 2026, with recent earnings estimates being revised downward [12].
How Generative AI Could Change Shopping Forever — With Rubail Birwadker
Alex Kantrowitz· 2025-11-20 17:30
Let's talk about whether AI will have us all transacting within chat bots and whether your purchase data might help AI agents give you better recommendations. We're joined today by Rubel Burwalker, the global head of growth products and strategic partnerships of Visa in a conversation brought to you by Visa and Rubel. It's so great to see you.Welcome. >> Thanks for having Alex. Okay, so let me start with this question of conversational commerce or um you know that's a jargon way of saying maybe we'll just a ...
Rezolve Ai Launches Visual Search, Replacing Keyword Search with Conversational Commerce
Globenewswire· 2025-09-11 12:00
Core Insights - Rezolve Ai has launched a Visual Search capability that allows consumers to use their phone cameras to search a retailer's catalog instantly, enhancing the shopping experience [1][3] - The company emphasizes the shift from traditional keyword searches to Conversational Commerce, enabling a more intuitive and engaging shopping process [2][3] Technology and Features - Visual Search utilizes proprietary AI models to provide precise matches and faster results compared to traditional search methods [3][7] - The system supports various input methods, including pointing a camera at an object, uploading photos, or using screenshots to find matching items [7] - It integrates with Brain Commerce and Brain Checkout, facilitating personalized recommendations and streamlined checkout processes [7] Competitive Advantages - Rezolve owns its foundational large language model (LLM) and computer vision technology, reducing reliance on external models [7] - The company has proprietary patents aimed at ensuring reliable and explainable search results, minimizing errors in product retrieval [7] - The platform is designed for large retail catalogs, allowing for quick updates and real-time inventory visibility [7] Retail Applications - The Visual Search feature can be used in various retail scenarios, such as finding products seen on social media or assisting in-store associates with stock inquiries [7] - Enhanced data classification benefits merchants by improving product discovery and optimizing merchandising through auto-tagging and enriched metadata [7][8]